Course - Advanced Nanoscale Surface Dynamic Processes - MM8444
MM8444 - Advanced Nanoscale Surface Dynamic Processes
About
Examination arrangement
Examination arrangement: Oral exam
Grade: Passed / Not Passed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Oral exam | 100/100 | 1 hours | E |
Course content
Surfaces are complex, dynamic molecular meeting places, where physical and chemical processes create a state of constant flux over a range of length scales. Friction for example causes huge energy losses (23% of the global energy loss), with significant economic and environmental consequences. Real surfaces are complex, not flat, not uniform, and their finite but small width gives rise to large fluctuations, with dynamic processes driving the evolution of complex 3D structures from atomic- to macro- scales.
This course deals with the nanoscale surface dynamic phenomena having implications for diverse disciplines with focus on real system functions: miniaturized electronics, biological surfaces, composite materials, or infrastructures. The main topics of study in this course are: adsorption, electrochemistry, surface transport, modelling methods, surface characterisation methods at nanoscale including spectroscopic and microscopic methods (like f.ex spectroscopy, AFM, QCM, XPS, FIB), nanotribology, lubrication and lubricants, surface chemistry.
Learning outcome
Knowledge:
- Surface definitions and understanding of what a surface is
- acting surface forces/adhesion and surface roughness
- how surface and near subsurface characteristics influence the surface performance and the bulk material performance
- surface-environment interaction
- surface dynamics (adsorption, diffusion, etc)
- theoretical understanding and modelling of surface phenomena
Skills:
- Surface design
- understanding the different impact of surface scales for the actual performance
- select appropriate experimental techniques to study specific surface phenomena
- use the acquired knowledge to assess how a surface will behave in real systems
- learn how to use computational resources to model and understand surfaces
- decide on experimental techniques for surface characterization depending on the surface application and performance challenge
- based on surface characterization results find an optimization strategy for performance increase.
General competence:
- Evaluate limitations of common approximations in the field of surfaces and interfaces
- understand which nanoscale experimental techniques are suitable to study specific surface phenomena
Learning methods and activities
Lectures and group work.
Compulsory assignments
- Exercises
Recommended previous knowledge
Basic knowledge in materials science including mechanical properties of materials, corrosion and electrochemistry, metals and alloys, etc.
Basic mathematics, physics and chemistry courses.
Required previous knowledge
All students taking this course must be enrolled in a ph.d program at NTNU or a different university.
Course materials
There is no text book covering all the topics of this course, therefore the learning materials will be the following: lecture notes and powerpoint presentations, selected research papers and selected book chapters.
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: English
Location: Trondheim
- Machine Design and Materials Technology - Mechanical Integrity
- Materials Science and Engineering
- Machine Design and Materials Technology
- Materials Technology and Electrochemistry
- Machine Design and Materials Technology - Surface Engineering
- Physical Chemistry
- Surface Physics
- Nanotechnology
Department with academic responsibility
Department of Mechanical and Industrial Engineering
Examination
Examination arrangement: Oral exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Oral exam 100/100 E 2023-12-04 09:00
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Room Building Number of candidates - Spring ORD Oral exam 100/100 E
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"